Fast autonomous registration of Landsat, SPOT, and digital map imagery

Andrew John Lee; Neil H. Carender; Douglas J. Knowlton; David M. Bell; J. Kent Bryan

doi:10.1117/12.155816

24 September 1993 Fast autonomous registration of Landsat, SPOT, and digital map imagery

Andrew John Lee, Neil H. Carender, Douglas J. Knowlton, David M. Bell, J. Kent Bryan

Proceedings Volume 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision; (1993) https://doi.org/10.1117/12.155816
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Reggie, an autonomous image registration software package which can process several diverse types of image data, including Landsat thematic mapper (TM), SPOT high resolution visible (HRV), and ADRG digital map imagery is described. This software package is in the final stages of development, and will soon be commercially available. The Reggie algorithm employs sensor geometry models to fully exploit all a priori knowledge of the image collection geometries and the potential image distortions. Sensor models for Landsat TM and SPOT HRV sensors and digital map data are described. Initial results demonstrating registration accuracy and execution time are presented for the registration of Landsat TM and SPOT HRV imagery and ADRG digital map data.

Citation Download Citation

Andrew John Lee, Neil H. Carender, Douglas J. Knowlton, David M. Bell, and J. Kent Bryan "Fast autonomous registration of Landsat, SPOT, and digital map imagery", Proc. SPIE 1944, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision, (24 September 1993); https://doi.org/10.1117/12.155816

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